Guopeng Zhang

Optimizing Federated Learning Efficiency via Slimmable Neural Networks and AirComp for Resource-Heterogeneous Devices

The Air-FedSNN framework, which integrates slimmable neural networks (SNNs) with over-the-air computation (AirComp) to improve communication, computation, and energy efficiency in heterogeneous IoT networks, and provides an efficient solution for resource-constrained environments.